Description

This MCP server, developed by Andy Brandt, provides a bridge between large language models and the PubMed medical research database via the Entrez API. Built in Python, it enables AI assistants to search PubMed, access article abstracts, and potentially retrieve full-text content for open access papers. The implementation focuses on simplicity and ease of integration with Claude Desktop, offering a straightforward interface for querying biomedical literature. By connecting AI models with PubMed's vast repository of scientific articles, this server allows AI systems to access up-to-date medical research, analyze trends in healthcare, and provide evidence-based insights. It is particularly useful for scenarios like literature reviews, staying current on medical advancements, and building AI assistants that can leverage peer-reviewed scientific knowledge in the biomedical domain.

Installation

npx -y mcp-simple-pubmed

npm install mcp-simple-pubmed

git clone https://github.com/andybrandt/mcp-simple-pubmed

Claude Desktop Configuration

Add this configuration to your Claude Desktop config file to enable this MCP server:

Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json

Config file location: %APPDATA%\Claude\claude_desktop_config.json

Config file location: ~/.config/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "simple-pubmed": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-simple-pubmed"
      ]
    }
  }
}